文章基本信息

标题：Novel Approach for Image Fusion Using NSCT and Masking Technique
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作者：Deepika M ; Thippeswamy K H
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9926
DOI：10.15680/IJIRCCE.2017.0505285
出版社：S&S Publications
摘要：A perceptual image fusion method is proposed that employs explicit luminance and contrast maskingmodels. These models are combined to give the perceptual importance of each coefficient produced by the Non subsampledContourlet Transform (NSCT) of each input image. This combined model of perceptual importance is used toselect which coefficients are retained and furthermore to determine how to present the retained information in the mosteffective way. Here the luminance masking and contrast masking are used to improve the image fusion. This work isthe first to give a principled approach to image fusion from a perceptual perspective. Furthermore, the proposed methodis shown to give improved quantitative and qualitative results compared to previously developed methods.
关键词：Non sub-sampled Contourlet Transform (NSCT); Image Fusion; luminance masking and contrast;masking.